Product Manager

2 weeks ago

Bengaluru Karnataka India, Karnataka TRDFIN Support Services Pvt Ltd Full time

Role Purpose

The Product Manager (AI) will lead the strategy, roadmap, and execution of AI-driven products. This role requires strong knowledge of AI/ML, user needs, product thinking, and cross-functional collaboration to deliver scalable and impactful AI solutions.


Key Responsibilities


1. Product Strategy & Vision

  • Define vision and roadmap for AI/ML products aligned with business goals.
  • Identify customer pain points, market gaps, and emerging AI trends.
  • Set product KPIs and performance metrics.


2. Roadmap & Execution

  • Create and manage product roadmaps, requirements, and user stories.
  • Work with engineering and data science teams to deliver features on time.
  • Conduct A/B tests, pilots, and validation experiments.


3. Customer & Market Insights

  • Perform market analysis and competitive benchmarking.
  • Gather customer feedback through interviews and data analytics.
  • Convert insights into actionable product decisions.


4. AI/ML Expertise

  • Understand LLMs, model selection, fine-tuning, and evaluation.
  • Collaborate with technical teams on architecture, data pipelines, and deployment.
  • Ensure responsible AI practices, privacy, and compliance.


5. Cross-Functional Collaboration

  • Work with design, engineering, sales, and marketing teams.
  • Drive communication across stakeholders and leadership.
  • Support GTM launches, positioning, and product documentation.


Required Skills

Technical Skills

  • Understanding of AI/ML fundamentals, LLMs, generative AI.
  • Familiarity with cloud services (AWS/GCP/Azure) and MLOps workflows.
  • Knowledge of APIs, data pipelines, and model evaluation.


Product Skills

  • Experience managing AI or data-driven product lifecycles.
  • Strong analytical and problem-solving ability.
  • Expertise in PRDs, product specs, and backlog management.


Soft Skills

  • Clear communication and stakeholder management.
  • Strategic thinking and strong ownership.


Preferred Qualifications

  • MBA or Master’s in Engineering/CS.
  • AI/ML, Product Management, or Cloud certifications.
  • Experience in B2B SaaS or enterprise-level AI products.

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